Results 61 to 70 of about 1,186,680 (282)

Geometry meets semantics for semi-supervised monocular depth estimation

open access: yes, 2018
Depth estimation from a single image represents a very exciting challenge in computer vision. While other image-based depth sensing techniques leverage on the geometry between different viewpoints (e.g., stereo or structure from motion), the lack of ...
A Geiger   +9 more
core   +1 more source

The Second Monocular Depth Estimation Challenge

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Published at ...
Spencer, Jaime   +42 more
openaire   +4 more sources

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon   +9 more
wiley   +1 more source

AMENet is a monocular depth estimation network designed for automatic stereoscopic display

open access: yesScientific Reports
Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge.
Tianzhao Wu   +4 more
doaj   +1 more source

Lightweight Monocular Depth Estimation

open access: yes, 2022
Monocular depth estimation can play an important role in addressing the issue of deriving scene geometry from 2D images. It has been used in a variety of industries, including robots, self-driving cars, scene comprehension, 3D reconstructions, and others.
Ma, Ruilin, Chen, Shiyao, Zhang, Qin
openaire   +2 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Unsupervised Learning of Monocular Depth Estimation:A Survey [PDF]

open access: yesJisuanji kexue
As the key point of 3D reconstruction,automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision,among which,monocular depth estimation technology based on unsupervised learning has been ...
CAI Jiacheng, DONG Fangmin, SUN Shuifa, TANG Yongheng
doaj   +1 more source

Real-Time Human Motion Capture with Multiple Depth Cameras

open access: yes, 2016
Commonly used human motion capture systems require intrusive attachment of markers that are visually tracked with multiple cameras. In this work we present an efficient and inexpensive solution to markerless motion capture using only a few Kinect sensors.
Little, James J., Shafaei, Alireza
core   +1 more source

Depth Prompting for Sensor-Agnostic Depth Estimation

open access: yes2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accepted at CVPR ...
Park, Jin-Hwi   +3 more
openaire   +2 more sources

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

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